98 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs in Germany
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Constructor Technology, invites applications for Fast-track Ph.D. positions in Computer Science. About the Position Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor
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stabilisation of the Cr4Te5 phase. In addition to phase engineering, the project will examine how stoichiometry, structural quality and defect formation influence the potential ferroelectric functionalities
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to further reflect experience. Please follow this attached link for more details https://www.eso.org/public/jobs/conditions/intstaff/salary-structure/ . ESO aims to support members of personnel in maintaining
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Master Thesis in Physics or Materials Science: Remanent phase shifter based on memristive technology
aims to bridge memristive technology and integrated photonic circuits by developing a novel photonic component. The work contributes to an emerging interdisciplinary research field combining electronics
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(or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science; Strong background in Structural Bioinformatics and
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partnership with our construction department in Jülich. At last, your duties extend to the maintenance of all these devices. Your focus area will be mainly the field of low and ultra-low temperatures, where you
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: Required Qualifications: Very good performance in your Master’s studies in Electrical Engineering, Computer Science, Geoinformatics, Energy Systems, or related field Very good knowledge of Machine Learning
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digitalized society, a climate-friendly energy system, and a sustainable economy. We focus on the natural, life, and engineering sciences in the fields of information, energy, and bioeconomy. We combine
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institutions from academia and industry: https://euraxess.ec.europa.eu/jobs/401249 . Your mission The aim of the project is the development of a physical model of the initial solidification of steel during
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of industrial processes. In a joint effort of both institutes, the Department AI4Quantum – Machine Learning for Quantum Simulation and Computing and Thermal Energy and Process Engineering are looking for a PhD